Ai/Ml Engineer

Job Description

Dear Candidate Greetings from A2Z HR Consultants !!!!!!!! We are hiring for one of the renowned Web Software company based in Noida Number of working days: 5 Shift Timings: Day Shifts Salary: upto 32 LPA Profile: AI/ ML Engineer Experience Required: Min 5 Years **** Work from Office only Job Summary: Join our forward-thinking team to pioneer cutting-edge AI solutions that transform industries. We seek an AI Expert with 5+ years of experience in Python, machine learning, and large language models (LLMs), paired with robust MLOps expertise. You will architect, optimize, and deploy scalable AI systems, focusing on LLM fine-tuning (e.g., Llama, GPT, Mistral), Retrieval-Augmented Generation (RAG), and production-grade deployment on AWS . If you thrive on solving complex challenges, driving ethical AI innovation, and leading cross-functional teams, this role is for you. Key Responsibilities: Design, develop, and deploy AI/ML models using Python and relevant frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Optimize and fine-tune machine learning algorithms for performance, scalability, and accuracy. Work with large datasets to extract insights, preprocess data, and build predictive models. Develop and integrate AI-powered solutions into applications, including natural language processing (NLP), computer vision, and deep learning systems. Architect, fine-tune, and deploy large language models (LLMs) for various use cases such as chatbots, text generation, summarization, and document understanding. Implement retrieval-augmented generation (RAG) techniques to enhance LLM capabilities. Research and apply model compression techniques such as quantization and distillation to optimize LLM deployment. Leverage embeddings, knowledge graphs, and vector databases for efficient information retrieval and AI-driven insights. Develop robust MLOps/LLMOps pipelines for model versioning, monitoring, and CI/CD integration. Deploy AI models in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML) and optimize inference cost-performance trade-offs. Utilize containerization and orchestration tools such as Docker, Kubernetes, and Kubeflow for scalable AI deployments. Stay updated on the latest AI advancements and integrate emerging technologies into production systems. Ensure AI model interpretability, fairness, and adherence to ethical AI principles. Participate in code reviews, debugging, and troubleshooting of AI models and pipelines. Required Qualifications & Skills: Education: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: 5+ years of hands-on experience in AI, machine learning, or deep learning projects. Programming: Strong proficiency in Python and its AI/ML libraries (NumPy, Pandas, TensorFlow, PyTorch, Scikit-learn, etc.). LLM Expertise: Hands-on experience with LLMs such as OpenAIs GPT, Llama, Mistral, Gemini, PaLM, or similar frameworks. Fine-Tuning & Optimization: Experience fine-tuning LLMs, optimizing for cost-performance balance, and utilizing techniques like LoRA, PEFT, and RLHF. NLP & Deep Learning: Expertise in NLP model training, transformer-based architectures (BERT, T5, GPT, etc.), and model evaluation techniques. MLOps & LLMOps: Experience with model lifecycle management, monitoring, CI/CD pipelines, and cloud-based model deployment. Cloud & Deployment: Proficiency in deploying AI models on Google Cloud (Vertex AI), AWS, or Azure. Containerization & Orchestration: Experience with Docker, Kubernetes, and Kubeflow for AI model deployment. Data Engineering: Knowledge of data preprocessing, feature engineering, and handling large-scale datasets efficiently. Prompt Engineering: Strong understanding of prompt design, embedding generation, and model evaluation metrics for LLMs. Security & Ethics: Familiarity with AI security best practices, data privacy, and responsible AI principles. Interested candidates can reach out at 9711831492 or share your resume at gaurav.a2zhrconsultants@gmail.com Candidates who are already on Notice period or immediately available shall apply only. Regards Gaurav Kumar A2Z HR Consultants 9711831492